北京科技大学主页平台管理系统 Lijiangyun--Home-- Yu H, Zha S, Huangfu Y, Chen C, Ding M, Li J*. Dual attention u-net for multi-sequence cardiac MR images segmentation. Myocardial Pathology Segmentation Combining Multi-Sequence CMR Challenge, 2020: 118-127.

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Supervisor of Doctorate Candidates

Name (English):Lijiangyun

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School/Department:School of Automation and Electrical Engineering, University of Science and Technology Beijing

Professional Title:Professor

Academic Titles:工业过程知识自动化教育部重点实验室常务副主任

Discipline:
Pattern Recognition and Intelligent System

Honors and Titles:
中国职业安全健康协会科学技术二等奖，2024
中国煤炭工业协会科学技术二等奖，2024
中国钢铁工业协会冶金科学技术一等奖，2015
北京科技大学“泰山钢铁优秀教师奖”，2022
北京科技大学第一届本科“十佳班主任”，2021
北京科技大学优秀工会干部，2020
北京科技大学“我爱我师”称号，2019
北京科技大学优秀共产党员，2019
北京科技大学先进工作者，2018
首届全国高校微课教学比赛北京赛区优秀奖，2011
北京高校第六届青年教师教学基本功比赛二等奖，2009

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Home > Scientific Research > Paper Publications

Yu H, Zha S, Huangfu Y, Chen C, Ding M, Li J*. Dual attention u-net for multi-sequence cardiac MR images segmentation. Myocardial Pathology Segmentation Combining Multi-Sequence CMR Challenge, 2020: 118-127.

Date:2024-03-31 clicks:

Note:会议论文

Translation or Not:no

Date of Publication:2020-01-01

Pre One:Yao P, Li J, Guo L, Liu J. Modeling Local and Global Contexts for Image Captioning. IEEE International Conference on Multimedia and Expo (ICME), 2020: 1-6. Next One:Wang Y, Liang B, Ding M, Li J. Dual-branch dense residual network for hyperspectral imagery classification. International Journal of Remote Sensing. 2020, 41(7): 2581-2602.

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Yu H, Zha S, Huangfu Y, Chen C, Ding M, Li J*. Dual attention u-net for multi-sequence cardiac MR images segmentation. Myocardial Pathology Segmentation Combining Multi-Sequence CMR Challenge, 2020: 118-127.

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Yu H, Zha S, Huangfu Y, Chen C, Ding M, Li J*. Dual attention u-net for multi-sequence cardiac MR images segmentation. Myocardial Pathology Segmentation Combining Multi-Sequence CMR Challenge, 2020: 118-127.

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